Evidence map›Paper›PMID 28426276›Full record

ArticleEpigenetics2017

Integrative epigenetic and genetic pan-cancer somatic alteration portraits.

Lucas A Salas, Kevin C Johnson, Devin C Koestler, Dylan E O'Sullivan, Brock C Christensen

Abstract read
In one paragraph

Article in Epigenetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Lucas A Salasa Department of Epidemiology , Geisel School of Medicine at Dartmouth , Hanover , NH , USA.ORCID 0000-0002-2279-4097
Kevin C Johnsona Department of Epidemiology , Geisel School of Medicine at Dartmouth , Hanover , NH , USA.ORCID 0000-0003-0016-5158
Devin C Koestlerc Department of Biostatistics , University of Kansas Medical Center , Kansas City , KS , USA.ORCID 0000-0002-0598-0146
Dylan E O'Sullivand Department of Public Health Sciences , Queen's University , Kingston , ON , Canada.ORCID 0000-0002-2562-0017
Brock C Christensena Department of Epidemiology , Geisel School of Medicine at Dartmouth , Hanover , NH , USA.ORCID 0000-0003-3022-426X

Funding

Relation Between In-utero Vitamin D and Immune Function in Early Childhood P20GM104416 · NIGMS · DARTMOUTH COLLEGE · PI KARAGAS, MARGARET RITA · 2013 to 2022
$23.7M
Training Program for Quantitative Population Sciences in CancerR25CA134286 · NCI · DARTMOUTH COLLEGE · PI KARAGAS, MARGARET RITA, TOSTESON, TOR D · 2009 to 2018
$3.0M
MicroRNA related genetic variation and head and neck cancerR01DE022772 · NIDCR · DARTMOUTH COLLEGE · PI CHRISTENSEN, BROCK CLARKE · 2013 to 2016
$2.7M
Heartland Institute for Clinical and Translational ResearchKL2TR000119 · NCATS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI BAROHN, RICHARD J. · 2012 to 2015
$2.5M
Heartland Institute for Clinical and Translational ResearchTL1TR000120 · NCATS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI BAROHN, RICHARD J. · 2012 to 2015
$549k
NCATS NIH HHS KL2 TR000119NCATS NIH HHS TL1 TR000120NCI NIH HHS R25 CA134286NIDCR NIH HHS R01 DE022772NIGMS NIH HHS P20 GM104416
6 · The paper itself

Abstract

Genetic and epigenetic alterations are required for carcinogenesis and the mutation burden across tumor types has been investigated. Here, we investigate epigenetic alterations with a novel measure of global DNA methylation dysregulation, the methylation dysregulation index (MDI), across 14 cancer types in The Cancer Genome Atlas (TCGA) database. DNA methylation data-obtained using Illumina HumanMethylation450 BeadChip-was accessed from TCGA. We calculated the MDI in 14 tumor types (n = 5,592 tumors), using adjacent normal tissues (n = 701) from each tumor site. Copy number alteration, and mutation burden were retrieved from cBioportal (n = 5,152). We tested the relation of subject MDI across tumors and with age, gender, tumor stage, estimated tumor purity, and copy number alterations for both overall MDI and genomic-context-specific MDI. We also investigated the top most dysregulated loci shared across tumor types. There was a broad range of extent in methylation dysregulation across tumor types (P < 2.2E-16). However, a consistent pattern of methylation dysregulation stratified by genomic context was observed across tumor types where the highest dysregulation occurred at non-CpG island regions. Considering other summary measures of somatic alteration, MDI was correlated with copy number alterations but not with mutation burden. Using the top dysregulated CpG sites in common across tumors, 4 classes of cancer types were observed, and the functional consequences of these alterations to gene expression were confirmed. This work identified the global DNA methylation dysregulation patterns across 14 cancer types showing a higher impact for the non-CpG island areas. The most dysregulated loci across cancer types identified common clusters across cancer types that may have implications for future treatment and prevention measures.

Indexed as

Epigenesis, GeneticGene Expression Regulation, NeoplasticCarcinomaCpG IslandsDNA Copy Number VariationsDNA MethylationFemaleGenetic LociGenome, HumanHumansMaleCopy number alterationsDNA methylationepigeneticspan-cancer

Identifiers

PMID28426276
PMCPMC5687331

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.